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This paper presents a multi-objective Q-learning framework for transmission power allocation in Optical Wireless Communication (OWC) and Radio Frequency (RF) heterogeneous networks. The framework aims to minimize transmission power for both OWC and RF links while maximizing data rates, addressing the challenges of resource allocation in dynamic environments. Extensive simulations demonstrate the framework

Author

sehong71

Language

EN